Bing Wang
Impact in
-
- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
- Modeling and Simulation top 2%
- COVID-19 epidemiological studies
Papers in
-
- Complex Network Analysis Techniques 29
- Opinion Dynamics and Social Influence 22
-
- COVID-19 epidemiological studies 18
- Co-authors
- Yuexing Han (30 shared papers)Zhilong Xiu (3 shared papers)Chonghui Guo (2 shared papers)Kazuyuki Aihara (6 shared papers)Hideyuki Suzuki (3 shared papers)Gouhei Tanaka (5 shared papers)Yan Li (1 shared paper)Liang Zhang (1 shared paper)
- Journals
- Chaos Solitons & Fractals (4 papers)Physical review. E (4 papers)Physica A Statistical Mechanics and its Applications (3 papers)Scientific Reports (2 papers)The International Journal of Advanced Manufacturing Technology (2 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Bing Wang
105 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 140
- Statistical and Nonlinear Physics 375
- Modeling and Simulation 125
- Computer Networks and Communications 207
- Signal Processing 69
- Computer Vision and Pattern Recognition 99
Countries citing papers authored by Bing Wang
This map shows the geographic impact of Bing Wang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Bing Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bing Wang more than expected).
Fields of papers citing papers by Bing Wang
This network shows the impact of papers produced by Bing Wang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Bing Wang. The network helps show where Bing Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Bing Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 114 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 151 | |
| 2 | 2019 | 54 | |
| 3 | 2016 | 53 | |
| 4 | 2021 | 47 | |
| 5 | 2017 | 35 | |
| 6 | 2006 | 32 | |
| 7 | 2004 | 29 | |
| 8 | 2009 | 26 | |
| 9 | 2021 | 26 | |
| 10 | 2007 | 24 | |
| 11 | 2016 | 23 | |
| 12 | 2010 | 23 | |
| 13 | 2012 | 22 | |
| 14 | 2014 | 20 | |
| 15 | 2007 | 20 | |
| 16 | 2022 | 19 | |
| 17 | 2011 | 19 | |
| 18 | 2020 | 19 | |
| 19 | 2019 | 19 | |
| 20 | 2024 | 18 |
About Bing Wang
Bing Wang is a scholar working on Statistical and Nonlinear Physics, Modeling and Simulation, Control and Systems Engineering, Computer Networks and Communications and Electrical and Electronic Engineering, having authored 114 papers that have together received 1.1k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (29 papers), Opinion Dynamics and Social Influence (22 papers), COVID-19 epidemiological studies (18 papers), Machine Learning in Materials Science (6 papers), Data-Driven Disease Surveillance (4 papers), Mental Health Research Topics (3 papers), Vibration and Dynamic Analysis (3 papers) and Scheduling and Optimization Algorithms (3 papers). The work is most often cited by research in Statistical and Nonlinear Physics (375 citations), Modeling and Simulation (125 citations), Computer Networks and Communications (207 citations), Signal Processing (69 citations) and Computer Vision and Pattern Recognition (99 citations). Bing Wang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Yuexing Han, Zhilong Xiu, Chonghui Guo, Kazuyuki Aihara, Hideyuki Suzuki, Gouhei Tanaka, Yan Li, Liang Zhang, Peng Zhang and Xiaojun Tan. Their work appears in journals such as Chaos Solitons & Fractals, Physical review. E, Physica A Statistical Mechanics and its Applications, Scientific Reports and The International Journal of Advanced Manufacturing Technology.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.